Addressing community health needs through community engagement research advisory boards

Patten, Christi A.; Albertie, Monica; Chamie, Chara; Brockman, Tabetha A.; Gorfine, Mary; Nicholas, Rosa; Bock, Martha J.; Okamoto, Janet; Penheiter, Sumedha G.; Balls-Berry, Joyce E.

doi:10.1017/cts.2019.366

Cited by 17 publications

(16 citation statements)

References 13 publications

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“…Stakeholder engagement through CABs is intended to promote transparency of research processes and improve translation of research to practice 92 while helping to shape research so that it better aligns with community priorities. 93 In that way, CAB members who are representative of diverse study populations can help craft recruitment strategies that are most likely to be authentic 94 while helping members of their community understand the risks and benefits of research participation. 95,96 Nationally, CABs have expanded rapidly as standing institutional committees and/or study-specific entities.…”

Section: Discussionmentioning

confidence: 99%

Community-Engaged Approaches for Minority Recruitment Into Clinical Research: A Scoping Review of the Literature

Wieland

Njeru

Alahdab

et al. 2021

Mayo Clinic Proceedings

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Underrepresentation of racial and ethnic minority populations in clinical research persists in the United States, highlighting the unmet ideals of generalizability and equity of research findings and products. Previous systematic reviews exploring various facets of this phenomenon concluded that community engagement with minority groups may effectively promote recruitment and retention, but the ways in which community-engaged approaches have been used for recruitment have not been examined. We performed a scoping review of the literature to identify studies of community-engaged recruitment processes. The search resulted in 2842 articles, of which 66 met inclusion criteria. These articles demonstrated a relatively large literature base of descriptive studies conveying details of community engagement approaches to enhance recruitment of minority research participants. We summarize key aspects of current practices across the spectrum of community engagement. A gap in the literature is the relative lack of the comparative studies among different engagement strategies.

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Section: Discussionmentioning

confidence: 99%

Community-Engaged Approaches for Minority Recruitment Into Clinical Research: A Scoping Review of the Literature

Wieland

Njeru

Alahdab

et al. 2021

Mayo Clinic Proceedings

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“…The use of big data to understand public health issues is a novel way to provide clinical and translational science awards programs insight on community priorities that lend themselves to community-engaged research approaches [71]. Our other research indicates that meaningful community engagement offers the opportunity to promote bi-directional dialogue about health research with diverse communities [71][72][73].…”

Section: Discussionmentioning

confidence: 91%

Mining news media for understanding public health concerns

Zolnoori

Huang

Patten

et al. 2019

J. Clin. Trans. Sci.

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Introduction: News media play an important role in raising public awareness, framing public opinions, affecting policy formulation, and acknowledgment of public health issues. Traditional qualitative content analysis for news sentiments and focuses are time-consuming and may not efficiently convey sentiments nor the focuses of news media. Methods: We used descriptive statistics and state-of-art text mining to conduct sentiment analysis and topic modeling, to efficiently analyze over 3 million Reuters news articles during 2007–2017 for identifying their coverage, sentiments, and focuses for public health issues. Based on the top keywords from public health scientific journals, we identified 10 major public health issues (i.e., “air pollution,” “alcohol drinking,” “asthma,” “depression,” “diet,” “exercise,” “obesity,” “pregnancy,” “sexual behavior,” and “smoking”). Results: The news coverage for seven public health issues, “Smoking,” “Exercise,” “Alcohol drinking,” “Diet,” “Obesity,” “Depression,” and “Asthma” decreased over time. The news coverage for “Sexual behavior,” “Pregnancy,” and “Air pollution” fluctuated during 2007–2017. The sentiments of the news articles for three of the public health issues, “exercise,” “alcohol drinking,” and “diet” were predominately positive and associated such as “energy.” Sentiments for the remaining seven public health issues were mainly negative, linked to negative terms, e.g., diseases. The results of topic modeling reflected the media’s focus on public health issues. Conclusions: Text mining methods may address the limitations of traditional qualitative approaches. Using big data to understand public health needs is a novel approach that could help clinical and translational science awards programs focus on community-engaged research efforts to address community priorities.

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“…Likewise, our local county health needs assessments identified mental health and obesity as top community health priorities. Our data therefore provide important baseline information for local county health departments and healthcare systems to measure the success (impact) of community-engaged mental and behavioral health promotion efforts over time [7].…”

Section: Discussionmentioning

confidence: 99%

“…In this study, we examined rural-urban health disparities in the prevalence of obesity and any mood disorder diagnosis over a 5-year period, in three local Minnesota counties served by our National Institutes of Health (NIH)-funded Clinical and Translational Science Award (CTSA), with different proportions of residents living in rural areas. We focused on these two health outcomes, because mental health and obesity were identified as the top two community health priorities from 2014 to 2016 in all three counties [4][5][6][7]. In addition, a survey involving a convenience sample of 418 community members statewide in Minnesota (10% rural residence) revealed that mental health and wellness (e.g., obesity and physical activity) were reported as top health needs [8].…”

Section: Introductionmentioning

confidence: 99%

Rural–urban health disparities for mood disorders and obesity in a midwestern community

Patten

Juhn

Ryu

et al. 2020

J. Clin. Trans. Sci.

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Introduction: Prior studies indicate greater disease burden for obesity among rural compared with urban residents but no differences for mood disorder based on geographic location. Recent attention has focused on the need to examine regional rural–urban disparities in disease burden. We focused on mood disorders and obesity prevalence within three southeastern Minnesota counties served by the Mayo Clinic Center for Translational Science Award, in Rochester, Minnesota, as these were top priorities identified in community health needs assessments. Methods: Cross-sectional study to assess the association of rural–urban locality on 5-year (2009–2014) prevalence of mood disorder and obesity obtained using the Rochester Epidemiological Project medical records linkage system, among subjects residing in three mixed rural–urban counties on April 1, 2014. Multivariable analyses adjusted for demographics, socioeconomic status using an individual housing-based measure, and counties. Results: The study cohort (percent rural location) included 91,202 (15%) for Olmsted, 10,197 (51%) in Dodge, and 10,184 (57%) in Wabasha counties. On multivariate analysis, 5-year prevalence of mood disorders and obesity was significantly greater for urban compared with rural residents, after adjusting for confounders; odds ratios (95% confidence intervals): 1.21 (1.17–1.26), P < 0.001, and 1.05 (1.01–1.10), P = 0.016, respectively. Observed effects were not modified in additional models adjusted for health care utilization (HCU; ≥1 general medical examination visit and flu vaccination). Conclusions: Rural–urban health disparities for burden of mood disorders and obesity are independent of socioeconomic status and HCU in a Midwestern community. It is important to assess potential regional heterogeneity of rural–urban disparities on health outcomes.

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Addressing community health needs through community engagement research advisory boards

Cited by 17 publications

References 13 publications

Community-Engaged Approaches for Minority Recruitment Into Clinical Research: A Scoping Review of the Literature

Community-Engaged Approaches for Minority Recruitment Into Clinical Research: A Scoping Review of the Literature

Mining news media for understanding public health concerns

Rural–urban health disparities for mood disorders and obesity in a midwestern community

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